Senior AI Engineer – EEG Cognitive Scoring Systems

Brainwave Science – Final Job Descriptions

Job Description 1: Senior AI Engineer – EEG Cognitive Scoring Systems 

Location: Delhi 

Employment Type: Full-Time 

Experience: 4+ Years 

Start Date: Immediate Joiners Preferred

About Brainwave Science

Brainwave Science is a deep-tech company building next-generation cognitive AI systems at the intersection of artificial intelligence, neuroscience, biosignals, mathematics, and human cognition. 

Our work focuses on developing intelligent systems for: 

• Cognitive and behavioral analysis 

• Stress and emotional state assessment 

• Adaptive AI systems 

• Biosignal intelligence 

• Applied healthcare and security technologies 

We operate in a fast-moving research and product environment where experimentation, originality, and rapid problem-solving are highly valued. 

About the Role 

We are looking for an experienced AI Engineer to strengthen the machine learning systems that transform EEG signals into cognitive and stress-state scores. 

This role is intended for engineers who have personally built, deployed, and maintained production AI systems. Candidates whose experience is limited to academic research, internships, proof-of-concept projects, or model training without production deployment are unlikely to be a good fit.  

You will work closely with our biomarker research team to improve model accuracy, robustness, explainability, and production readiness while contributing to AI systems used in real-world cognitive assessment. 

Key Responsibilities 

• Design, build, and improve machine learning models for EEG-based cognitive scoring. 
• Develop robust feature engineering pipelines for physiological signals. 
• Improve model robustness against noisy real-world EEG recordings. 
• Translate validated biomarker research into production-ready AI systems. 
• Evaluate and optimize model performance using rigorous scientific and statistical methods. 
• Improve model explainability and support evidence-based engineering decisions. 
• Collaborate closely with AI researchers and engineers throughout development. 
• Contribute to scalable, maintainable ML pipelines. 
• Document important technical decisions, experiments, and implementation details. 

Required Qualifications 

• 4+ years of hands-on experience building, deploying, and maintaining production machine learning systems. 
• Demonstrated ownership of at least one AI/ML system from model development through production deployment, monitoring, and iterative improvement. 
• Research-only experience is not sufficient. 
• Strong experience with physiological or biosignal data (EEG strongly preferred). 
• Strong understanding of feature engineering, model validation, statistical analysis, and model evaluation. 
• Excellent Python programming skills. 
• Hands-on experience with PyTorch, TensorFlow, or Scikit-learn. 

Preferred Qualifications 

• EEG signal processing. 
• Time-series or multimodal machine learning. 
• Explainable AI. 
• Scientific computing. 
• Experience collaborating with multidisciplinary research teams. 

Technologies You'll Work With 

• Python 
• PyTorch 
• TensorFlow 
• Scikit-learn 
• MNE 
• NumPy 
• Pandas 
• Git 
• Signal Processing 
• Time-Series Machine Learning 

Why Join Brainwave Science? 

• Work at the intersection of AI, neuroscience, and healthcare. 
• Build production AI systems with meaningful real-world impact. 
• Collaborate with experienced AI researchers and neuroscientists. 
• Solve challenging biosignal intelligence problems. 
• Grow in a collaborative engineering culture focused on learning, innovation, and technical excellence.